Multi-domain text-to-speech synthesis by automatic text classification

This paper describes a multi-domain text-to-speech (MD-TTS) synthesis strategy for generating speech among different domains and so increasing the flexibility of high quality TTS systems. To that effect, the MD-TTS introduces a flexible TTS architecture that includes an automatic domain classification module, which allows MD-TTS systems to be implemented by different synthesis strategies and speech corpus typologies. In this work, the performance of a corpus-based MD-TTS system is subjectively validated by means of several perceptual tests.